Title :
Synchronization of Time-delayed Systems Via Learning Control
Author :
Yan, Rui ; Er, Meng Joo
Author_Institution :
Intelligent Syst. Center, Nanyang Technol. Univ., Singapore
Abstract :
In this paper, a learning control approach is applied to the synchronization of two uncertain chaotic systems which contain nonlinear uncertainties with unknown time delays. This learning approach also deals with unknown time-varying parameters having distinct periods in the master and slave systems. Using the Lyapunov-Krasovskii functional and incorporating periodic parametric learning mechanism, global stability and asymptotic synchronization between the master and the slave systems are obtained. Simulation studies on representative classes of chaotic systems demonstrate the effectiveness of the proposed approach
Keywords :
Lyapunov methods; delay systems; learning systems; nonlinear control systems; periodic control; stability; synchronisation; time-varying systems; uncertain systems; Lyapunov-Krasovskii functional; asymptotic synchronization; global stability; learning control; nonlinear uncertainties; periodic parametric learning; time-delayed systems; time-varying parameters; uncertain chaotic systems; Adaptive control; Chaotic communication; Control systems; Delay effects; Master-slave; Nonlinear control systems; Robustness; Stability; Time varying systems; Uncertainty;
Conference_Titel :
Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on
Conference_Location :
Singapore
Print_ISBN :
1-4244-0341-3
Electronic_ISBN :
1-4214-042-1
DOI :
10.1109/ICARCV.2006.345188